ISBI 2020

Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer''s Disease Pathology

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection

DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

Enriching Statistical Inferences on Brain Connectivity for Alzheimer''s Disease Analysis Via Latent Space Graph Embedding

Regularized Kurtosis Imaging and Its Comparison with Regularized Log Spectral Difference and Regularized Nakagami Imaging for Microwave Hyperthermia Hotspot Monitoring

Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue Cytometry

Deep Mouse: An End-To-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes

CTF-Net: Retinal Vessel Segmentation Via Deep Coarse-To-Fine Supervision Network

Multi-Contrast MR Reconstruction with Enhanced Denoising Autoencoder Prior Learning

Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation

Inception Capsule Network for Retinal Blood Vessel Segmentation and Centerline Extraction

Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization